Malibu Boats Q3 revenue beats analyst estimates on addition of Saxdor Yachts

Malibu Boats

07/05/2026 22:09

Overview

US recreational powerboat maker's fiscal Q3 revenue rose 3%, beating analyst expectations

Adjusted EBITDA for fiscal Q3 beat analyst expectations

Company completed previously announced Saxdor Yachts acquisition, expanding into premium dayboats

Outlook

Malibu Boats expects fiscal 2026 net sales of $880 mln to $886 mln

Company sees fiscal 2026 Adjusted EBITDA of $72 mln to $74 mln

Saxdor is expected to contribute Q4 net sales of $57 mln to $59 mln and Adjusted EBITDA margin of 10% to 11%

Result Drivers

SAXDOR ACQUISITION - Revenue growth was primarily driven by the addition of Saxdor Yachts, which contributed $23.1 mln in sales and 66 units in the quarter

LOWER UNIT VOLUMES - Unit volumes fell across all legacy segments due to lower wholesale shipments and retail activity, partially offset by Saxdor's contribution

HIGHER COSTS - Gross margin declined due to higher per unit material and labor costs, fixed cost deleveraging from lower unit volumes, and inflationary pressures

Company press release: ID:nGNX66SYcz

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q3 Sales
Beat
$235.70 mln
$203.91 mln (10 Analysts)
Q3 Net Income
-$2.40 mln
Q3 Adjusted EBITDA
Beat
$22.70 mln
$17.01 mln (11 Analysts)
Q3 Gross Profit
$41.30 mln


Analyst Coverage

The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 5 "strong buy" or "buy", 6 "hold" and no "sell" or "strong sell"

The average consensus recommendation for the recreational products peer group is "buy"

Wall Street's median 12-month price target for Malibu Boats Inc is $36.00, about 40.1% above its May 6 closing price of $25.70

The stock recently traded at 14 times the next 12-month earnings vs. a P/E of 19 three months ago

For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact reuters.support@thomsonreuters.com.

(This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)